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Dr. Gaurav Gupta, Dr. Gurjit Singh Bhathal SENTIMENT ANALYSIS OF ENGLISH TWEETS USING DATA MINING

Data Mining, Sentiment Analysis

Technik
Englisch
9626 Wörter
Ab 18 Jahren
0
0

Due to the popularity of internet it becomes very easy for people to share their views over social networking websites. Most popular website among them is twitter. Twitter is a widely used social networking website that is used by the numerous people to give their opinion regarding a particular topic or product. So, today it becomes necessary to analyze the tweet of the people. The process to analyze and interpret the tweets is known as sentiment analysis. The main motive of this project is to identify how the tweets on the social networking website are used to identify the opinion of people regarding the particular product or policy. Twitter is a online website that allows the user to post the status of maximum 140 characters. Twitter has over 200 million registered users and 100 million active users [34]. So it comes to be a great source of valuable information. This project aims to develop a better way for sentiment analysis which is nothing a simple way to classify the tweets into positive, negative or neutral. The result of the sentiment analysis can be used by various organizations. Sentiment analysis can be used for forecasting the stock exchange, used to predict the popularity of any product in market, or used to predict the result of elections based on the public views on the social sites. The main motive of project is to develop a better way to accurately classify the unknown tweets according to their content. [mehr]

Stichwörter: Sentiment Analysis, Data Mining, Tweets

5,99 US$

VIGNESH RAMAMOORTHY H Fuzzy C-mean Clustering using Data Mining

Technik
Englisch
19875 Wörter
Ab 10 Jahren
51
0

The goal of traditional clustering is to assign each data point to one and only one cluster. In contrast, fuzzy clustering assigns different degrees of membership to each point. The membership of a point is thus shared among various clusters. This creates the concept of fuzzy boundaries which differs from the traditional concept of well-defined boundaries. In hard clustering, data is divided into distinct clusters, where each data element belongs to exactly one cluster. In fuzzy clustering (also referred to as soft clustering), data elements can belong to more than one cluster, and associated with each element is a set of membership levels. These indicate the strength of the association between that data element and a particular cluster. Fuzzy clustering is a process of assigning these membership levels, and then using them to assign data elements to one or more clusters. This algorithm uses the FCM traditional algorithm to locate the centers of clusters for a bulk of data points. The potential of all data points is being calculated with respect to specified centers. The availability of dividing the data set into large number of clusters will slow the processing time and needs more memory size for the program. Hence traditional clustering should device the data to four clusters and each data point should be located in one specified cluster .Imprecision in data and information gathered from and about our environment is either statistical(e.g., the outcome of a coin toss is a matter of chance) or no statistical (e.g., “apply the brakes pretty soon”). Many algorithms can be implemented to develop clustering of data sets. Fuzzy C-mean clustering (FCM) is efficient and common algorithm. We are tuning this algorithm to get a solution for the rest of data point which omitted because of its farness from all clusters. To develop a high performance algorithm that sort and group data set in variable number of clusters to use this data in control and managing of those clusters. [mehr]

5,49 US$

Sujai Das, Surajit Sengupta Jute Fabric Defects

National Institute of Research on Jute & Allied Fibre Technology (ICAR)

Technik
Englisch
2140 Wörter
Keine Altersempfehlung
1237
3

Fabric inspection system is important to maintain the quality of fabric. Fabric inspection is carried out manually with human visual inspection for a long time. The work of inspectors is very tedious and consumes time and cost.To reduce the wastage of cost and time, automatic fabric inspection is required. This paper proposes an approach to recognize fabric defects in textile industry for minimizing production cost and time. The Fabric inspection system first acquires high quality vibration free images of the fabric. Then the acquired images are subjected to defect segmentation algorithm. The output of the processed image is used as an input to the Artificial Neural Network (ANN) which uses back propagation algorithm to calculate the weighted factors and generates the desired classification of defects as an output. [mehr]

Stichwörter: jute, Fabric, Defects, Image Processing, Data Mining

Kostenlos

Mulayam Singh MACHINE LEARNING

Artificial Intelligence learning overview

Bildung
Englisch
8686 Wörter
Keine Altersempfehlung
188
0

The Evolution of Data Science and the Information Age.Data science is a large vast time period that encompasses a variety of disciplines and standards which includes big data, Artificial Intelligence (AI), data mining and machine learning. The self-discipline of analyzing giant volumes of data recognized as ‘data science’, is relatively new and has grown hand-in-hand with the improvement and widespread adoption of computers. Prior to computers, records used to be calculated and processed by hand underneath the umbrella of ‘statistics’ or what we would possibly now refer to as ‘classical statistics’. Baseball batting averages, for example, existed properly earlier than the creation of computers. Anyone with a pencil, notepad and primary arithmetic abilities could calculate Babe Ruth’s batting common over a season with the useful resource of classical statistics. The method of calculating a batting common concerned the dedication of time to accumulate and assessment batting sheets, and the software of addition and division. The key factor to make about classical data is that you don’t strictly need a laptop to work the statistics and draw new insight. As you’re working with small facts units it is feasible to even for pre-university college students to conduct statistics. Indeed data is nevertheless taught in colleges today, and as they have been for centuries. In this book you will learn all about machine learning and data mining. Hope you will love this book. [mehr]

Stichwörter: Artificial Intelligence., Machine Learning, Deep Learning, Neural Networks, Data Mining, Data Labeling, Reinforcement Learning, Bayesian Probability, Support Vector Machines, Data accumulation, Interpretation, machine learning course, Computer vision, Supervised learning, Neural network, Reinforcement learning, Machine, Data science, Robotics, Artificially, Intelligent, Cloud storage, Cloud Computing, cloud computing, Binary [mehr][weniger]

2,99 US$

Andy S. Falkner Der Datengräber

Megalomane und Gigantophobe, Band 3

Science Fiction
Deutsch
8779 Wörter
Ab 10 Jahren
209
0

Der behinderte Informatiker sammelt Wissen, indem er Daten auswertet. Und das gar nicht selber, sondern seine künstlich-intelligenten Programme [mehr]

Stichwörter: Informatiker, data mining, soziales Netzwerk, Virus, Bank, Finanzen, Macht

2,99 €

Justin March American Hex

Belletristik
Englisch
61016 Wörter
Ab 14 Jahren
793
1

Justin March leads a boring life until he embarks on a quest to find out the identity of the elusive computer hacker known as the Judge. In the near future, Techclon, an American mega corporation, develops cheap wireless nodes making the Internet fast, access universal, and bandwidth abundant. Techclon convinces the government to ban personal hard drives, forcing everyone to store their data over the Internet on Techclon servers. After Justin is arrested for having his own hard drive, the CEO of Techclon gives Justin a choice: work for Techclon or go to prison. Justin’s new career at Techclon centers on catching the Judge, an amateur philosopher and a black hat computer hacker who plans to release a doomsday worm that will take down the Internet. Through online conversations with the Judge, Justin becomes obsessed. Justin's quest will sweep him to the top echelon of society and then plunge him into poverty as he seeks to figure out the Judge’s identity. Even after the Judge is no longer a threat, Justin sacrifices everything to find the Judge because he believes the Judge is the only person who can cure his sense of alienation. You can reach me at americanhex@gmail.com [mehr]

Stichwörter: America, metaverse, salvation, cyberpunk, philosophy, technology, hacking, cyber apocalypse, american dream, corporatocracy, americanism, anonymity, privacy, cloud computing, big brother, surveillance, hyperreality, maniacal quest, post moderism, pomo, big data, data mining [mehr][weniger]

0,00 US$

Martyn Richard Jones-Lovering Aspiring Tendencies in Information Management

Data Warehousing and Decision Support

Computer
Englisch
2 Wörter
Keine Altersempfehlung
6834
14

This short but intense title addresses a wide range of topics in information management, and in particular topics [mehr]

Stichwörter: information management, data warehousing, decision support, politics, philosophy, economics

Kostenlos

Sunil Sikka CK Metrics as a Software Fault-Proneness Predictor

Bildung
Englisch
4939 Wörter
Ab 16 Jahren
59
0

Predicting Fault-proneness of software modules is essential for cost-effective test planning. Fault-proneness could play a key role in quality control of software. Various studies have shown the importance of software metrics in predicting fault-proneness of the software. “Classic” set of metrics was planned by Chidamber and Kemerer in 1991. Chidamber and Kemerer (CK) metrics suite is the most widely used metrics suite for the purpose of object-oriented software fault-proneness prediction. CK metrics are used for numerous function of study, e.g. defect prediction. CK metrics are the good predictor of fault-proneness of classes.C5.0 algorithm is one of the classification techniques of data mining. It is necessarily selected to partition data set into several smaller subsets in every recursion of creating decision tree. Object-oriented metrics play a very important role to quantify the effect of key factors to determine the fault-proneness. For fault-prediction model CK Metrics: Weighted Methods for Class (WMC), Depth of Inheritance Tree (DIT), Number of Children (NOC), Lack of Cohesion of Methods (LCOM), Response for Class (RFC), and Coupling Between Objects (CBO), are used as a independent variables. [mehr]

Stichwörter: CK Metrics, Fault-Proneness

5,49 US$

Jule ;) Data 2

Manu

Abenteuer
Deutsch
590 Wörter
Ab 10 Jahren
353
0

Das Buch: "Manu" ist der 2. Band der Reihe "data" (lat.Datum). Es geht um zwei Schwestern, die mit einer Zeitmaschine ins 17. Jahrhundert gereist sind und von einem Händler aufgenommen wurden. Warum sie von einer Horde Anhängern des regierenden Königs verfolgt werden und ob sie je wieder zurück nach Hause können, erfahrt ihr beim lesen. In der Widmung und im Vorwort findet ihr alle weiteren Informationen. [mehr]

Stichwörter: Abenteuer, Zeitreise, Spannung, Liebe, Freundschaft, Zusammenhalt, Geschwisterliebe, Gestaltenwandler, 17. Jahrhundert, Flucht

Kostenlos

Charles Saphro Zero Data

Belletristik
Englisch
8474 Wörter
Ab 18 Jahren
2
0

Author: Charles Saphro ISFDB Biography: Bio:Charles Saphro Bibliographic Comments: Author:Charles Saphro Author Tags: Project Gutenberg (1) Showing English translations only. Logged [mehr]

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eBooks „Data Mining“

Bücher (22)

eBooks „Data Mining“

Bücher (22)

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